resume-parser-ats

resume-parser-ats is a skill for Claude Code, Codex from dhanushk-offl/resume-parser. It costs 75 tokens per session (1,996 once invoked), scanned A, original, MIT.

A tool for reading resume files, especially PDFs, and turning them into structured details such as contact information, education, work history, skills, and projects. It also checks how well the resume may work with an ATS, an automated system employers use to screen applications.

In plain words
What is it for?
Use it to parse a resume from a PDF or raw text, inspect the extracted information, assess ATS compatibility, and get improvement suggestions.
Why use it?
It removes the need to copy resume information into a structured format by hand. It also highlights compatibility issues and suggests improvements for automated screening.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to parse a resume from a PDF or raw text, inspect the extracted information, assess ATS compatibility, and get improvement suggestions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhanushk-offl/resume-parser/resume-parser-ats
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dhanushk-offl/resume-parser --skill resume-parser-ats
Clone the repo
git clone --depth 1 https://github.com/dhanushk-offl/resume-parser

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for resume-parser-ats

README.md
[![agentmods](https://agentmods.dev/badge/skills/dhanushk-offl/resume-parser/resume-parser-ats/github.svg)](https://agentmods.dev/skills/dhanushk-offl/resume-parser/resume-parser-ats)
Your own site
<a href="https://agentmods.dev/skills/dhanushk-offl/resume-parser/resume-parser-ats"><img src="https://agentmods.dev/badge/skills/dhanushk-offl/resume-parser/resume-parser-ats/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for resume-parser-ats

Your own site · 80×15
<a href="https://agentmods.dev/skills/dhanushk-offl/resume-parser/resume-parser-ats"><img src="https://agentmods.dev/badge/skills/dhanushk-offl/resume-parser/resume-parser-ats.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,996 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01996
Opus 5 $0.00037 $0.00998
Sonnet 5 $0.00015 $0.00399
Haiku 4.5 $0.00007 $0.00200

Measured 9d ago against content hash 8ec74d2af0fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

resume-parser-ats scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

resume-parser-ats/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resume Parser — ATS Intelligence

You are a resume parsing and ATS analysis specialist. When activated, deeply parse resumes and provide structured, actionable insights.

When to Activate

  • User asks to parse, review, or analyze a resume
  • User asks "is my resume ATS-friendly?"
  • User asks for resume improvement suggestions
  • User uploads or references a resume PDF
  • User wants to compare what an ATS sees vs. their intended content

Tools Available

For programmatic use, install the npm package:

npm install resume-parser-ats

parse_resume — Extract structured data from a resume

npx resume-parser-ats parse <file.pdf>
import { parseResume } from "resume-parser-ats";
const result = parseResume({ filePath: "/path/to/resume.pdf" });
// or: parseResume({ rawText: "John Doe\[email protected]..." })

Input: { filePath?: string, rawText?: string } Output: Structured data with profile, education, experience, skills, projects.


analyze_resume — Parse + ATS compatibility scoring

npx resume-parser-ats analyze <file.pdf> --strictness strict
import { analyzeResume } from "resume-parser-ats";
const result = analyzeResume({ filePath: "/path/to/resume.pdf", strictness: "moderate" });

Input: { filePath?, rawText?, strictness?: "lenient"|"moderate"|"strict" } Output: ATS score (0-100), letter grade (A+ to F), per-field confidence, section detection, format issues.


suggest_improvements — Parse + analyze + prioritized suggestions

npx resume-parser-ats insights <file.pdf> --strictness strict --focus ats,formatting
import { suggestImprovements } from "resume-parser-ats";
const result = suggestImprovements({ filePath: "/path/to/resume.pdf", focusAreas: ["ats", "content"] });

Input: { filePath?, rawText?, strictness?, focusAreas?: string[] } Output: Overall score, grade, quick wins, prioritized suggestions (critical → low), section analysis.

Read the full file on GitHub · 240 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 240 lines · 75 tokens per session scan A 8ec74d2af0fd

Subscribe to this mod's changes

resume-parser-ats is a skill published in the GitHub repository dhanushk-offl/resume-parser (5 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 1,996 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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